HyperCLOVA X Technical Reportby Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong,…
Summary of Direct Preference Optimization Of Video Large Multimodal Models From Language Model Reward, by Ruohong Zhang et al.
Direct Preference Optimization of Video Large Multimodal Models from Language Model Rewardby Ruohong Zhang, Liangke…
Summary of Wavllm: Towards Robust and Adaptive Speech Large Language Model, by Shujie Hu et al.
WavLLM: Towards Robust and Adaptive Speech Large Language Modelby Shujie Hu, Long Zhou, Shujie Liu,…
Summary of Long-tailed Recognition on Binary Networks by Calibrating a Pre-trained Model, By Jihun Kim et al.
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Modelby Jihun Kim, Dahyun Kim, Hyungrok…
Summary of Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches, by Lingxuan Wu et al.
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patchesby Lingxuan Wu, Xiao Yang, Yinpeng…
Summary of A Theory For Length Generalization in Learning to Reason, by Changnan Xiao and Bing Liu
A Theory for Length Generalization in Learning to Reasonby Changnan Xiao, Bing LiuFirst submitted to…
Summary of Development Of Compositionality and Generalization Through Interactive Learning Of Language and Action Of Robots, by Prasanna Vijayaraghavan et al.
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robotsby Prasanna…
Summary of Modalink: Unifying Modalities For Efficient Image-to-pointcloud Place Recognition, by Weidong Xie et al.
ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognitionby Weidong Xie, Lun Luo, Nanfei Ye, Yi…
Summary of Mveb: Self-supervised Learning with Multi-view Entropy Bottleneck, by Liangjian Wen et al.
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneckby Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin XuFirst…
Summary of Boosting Few-shot Learning with Disentangled Self-supervised Learning and Meta-learning For Medical Image Classification, by Eva Pachetti et al.
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classificationby Eva Pachetti,…